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Report NEP-BIG-2024-12-09
This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-BIG
The following items were announced in this report:
- Angel Varela, 2024, "Achilles, Neural Network to Predict the Gold Vs US Dollar Integration with Trading Bot for Automatic Trading," Papers, arXiv.org, number 2410.21291, Oct, revised Mar 2025.
- Zhao, Yu, 2024, "From Offer to Close: A Machine Learning Approach to Forecast Real Estate Transaction Outcomes," OSF Preprints, Center for Open Science, number sxmq2, Nov, DOI: 10.31219/osf.io/sxmq2.
- Chad Brown, 2024, "Inference in Partially Linear Models under Dependent Data with Deep Neural Networks," Papers, arXiv.org, number 2410.22574, Oct.
- Iva Glišic, 2024, "A comparison of using MIDAS and LSTM models for GDP nowcasting," Working Papers Bulletin, National Bank of Serbia, number 22, Mar.
- Ali Elahi & Fatemeh Taghvaei, 2024, "Combining Financial Data and News Articles for Stock Price Movement Prediction Using Large Language Models," Papers, arXiv.org, number 2411.01368, Nov.
- Quechen Yang, 2024, "Blending Ensemble for Classification with Genetic-algorithm generated Alpha factors and Sentiments (GAS)," Papers, arXiv.org, number 2411.03035, Nov.
- Jesús Fernández-Villaverde & Galo Nuño & Jesse Perla, 2024, "Taming the curse of dimensionality: quantitative economics with deep learning," Working Papers, Banco de España, number 2444, Nov, DOI: https://doi.org/10.53479/38233.
- Boris Wolfson & Erman Acar, 2024, "Differentiable Inductive Logic Programming for Fraud Detection," Papers, arXiv.org, number 2410.21928, Oct.
- Chris Lam, 2024, "Debiasing Alternative Data for Credit Underwriting Using Causal Inference," Papers, arXiv.org, number 2410.22382, Oct, revised Oct 2024.
- Matteo Citterio & Marco D'Errico & Gabriele Visentin, 2024, "Conditional Forecasting of Margin Calls using Dynamic Graph Neural Networks," Papers, arXiv.org, number 2410.23275, Oct.
- Mahdi Goldani, 2024, "A Numerical Assessment for Predicting Human Development Index (HDI) Trends in the GCC Countries," Papers, arXiv.org, number 2411.01177, Nov, revised Nov 2024.
- Du, Tianyu & Kanodia, Ayush & Brunborg, Herman & Vafa, Keyon & Athey, Susan, 2024, "Labor-LLM: Language-Based Occupational Representations with Large Language Models," Research Papers, Stanford University, Graduate School of Business, number 4188, Jun.
- Yu, Shubin, 2024, "Using Large Language Models In Short Text Topic Modeling: Model Choice And Sample Size," OSF Preprints, Center for Open Science, number mqk3r, Nov, DOI: 10.31219/osf.io/mqk3r.
- Kentaro Hoshisashi & Carolyn E. Phelan & Paolo Barucca, 2024, "Whack-a-mole Online Learning: Physics-Informed Neural Network for Intraday Implied Volatility Surface," Papers, arXiv.org, number 2411.02375, Nov.
- Shapeng Jiang & Lijia Wei & Chen Zhang, 2024, "Donald Trumps in the Virtual Polls: Simulating and Predicting Public Opinions in Surveys Using Large Language Models," Papers, arXiv.org, number 2411.01582, Nov, revised Feb 2025.
- Hardik Routray & Bernhard Hientzsch, 2024, "Enforcing asymptotic behavior with DNNs for approximation and regression in finance," Papers, arXiv.org, number 2411.05257, Nov, revised Jul 2025.
- Joanna AL JOCMEK & Mazen MOUSSALLEM, 2024, "Combining Managerial Innovation and Artificial Intelligence to Predict Unpaid Patient Bills and Reduce Their Incidence
[Combiner l'innovation managériale et l'intelligence artificielle pour prédire les factures patients impayées et réduire leur in," Post-Print, HAL, number hal-04770751, Nov. - Mirko Djukic, 2024, "Topic classification of economic newspaper articles in a highly inflectional language – the case of Serbia," Working Papers Bulletin, National Bank of Serbia, number 21, Mar.